alibaba/wan-3.0/reference-to-video

wideo-do-wideo

Wan 3.0 Reference-to-Video API by Alibaba

alibaba/wan-3.0/reference-to-video

Reference-to-video

All-in-One Reference: keep subjects consistent from any mix of reference images, videos, and audio; pixel-level identity/voice/space alignment.

Wan 3.0 Reference-to-Video został opracowany przez Alibaba. Atlas Cloud (prowadzona przez Atlas Cloud AI LLC) zapewnia dostęp do modelu, ale nie jest jego właścicielem. Wszystkie znaki towarowe należą do ich odpowiednich właścicieli.

WEJŚCIE

Prompt *

Materiały referencyjne(0/20)

Możesz przeciągnąć i upuścić plik lub kliknąć, aby przesłać

MAX:20

Dokument

Głębokie myślenie

Włącz Głębokie myślenie, aby dołączyć dokument lub link internetowy. Wprowadzone dane zostaną zachowane.

Rozdzielczość

[ Original ] zachowuje natywny render modelu. [ SR ] to ekonomiczne skalowanie. [ ESR ] to ulepszone przetwarzanie od Atlas – więcej drobnych detali i stabilniejszy ruch, wciąż taniej niż renderowanie natywne. Dowiedz Się Więcej

Czas Trwania

Proporcje

Audio

Seed

WYJŚCIE

Bezczynny

Twoje wygenerowane wideo pojawi się tutaj

Skonfiguruj ustawienia i kliknij Uruchom, aby rozpocząć

Każde uruchomienie będzie kosztować $0.04. Za $10 możesz uruchomić ten model około 250 razy.

Co możesz zrobić dalej:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parametry

Przykład kodu
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "alibaba/wan-3.0/reference-to-video",  # Required. model name
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Required. The text prompt describing the scene and action for the referenced subjects (up to 20000 characters)
    "refers": [
        {
            "url": "example_url",
            "type": "example_type"
        }
    ],  # All-in-One Reference materials
    "resolution": "1080p",  # Output resolution
    "duration": 5,  # Video length in seconds (2-30)
    "ratio": "adaptive",  # The aspect ratio of the generated video. options: adaptive | 16:9 | 4:3 | 1:1 | 3:4 | 9:16
    "audio": True,  # Whether the output video includes an audio track
    "enable_thinking": False,  # Enable deep thinking mode
    "file": "example_value",  # Optional document input to parse (requires enable_thinking)
    "link": "example_value",  # Optional public webpage URL to parse (requires enable_thinking)
    "seed": 1,  # The random seed to use for the generation
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Instalacja

Zainstaluj wymagany pakiet dla swojego języka programowania.

pip install requests

Uwierzytelnianie

Wszystkie żądania API wymagają uwierzytelnienia za pomocą klucza API. Klucz API możesz uzyskać z panelu Atlas Cloud.

export ATLASCLOUD_API_KEY="your-api-key-here"

Nagłówki HTTP

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Chroń swój klucz API

Nigdy nie ujawniaj swojego klucza API w kodzie po stronie klienta ani w publicznych repozytoriach. Zamiast tego użyj zmiennych środowiskowych lub proxy backendowego.

Wyślij żądanie

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Wyślij żądanie

Wyślij asynchroniczne żądanie generowania. API zwróci identyfikator predykcji, którego możesz użyć do sprawdzania statusu i pobierania wyniku.

POST/api/v1/model/generateVideo

Treść żądania

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "alibaba/wan-3.0/reference-to-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Odpowiedź

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Sprawdź status

Odpytuj endpoint predykcji, aby sprawdzić bieżący status żądania.

GET/api/v1/model/prediction/{prediction_id}

Przykład odpytywania

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Wartości statusu

processingŻądanie jest wciąż przetwarzane.

completedGenerowanie zakończone. Wyniki są dostępne.

succeededGenerowanie powiodło się. Wyniki są dostępne.

failedGenerowanie nie powiodło się. Sprawdź pole błędu.

Odpowiedź ukończona

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Prześlij pliki

Prześlij pliki do magazynu Atlas Cloud i uzyskaj URL, którego możesz użyć w swoich żądaniach API. Użyj multipart/form-data do przesyłania.

POST/api/v1/model/uploadMedia

Przykład przesyłania

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Odpowiedź

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Schema wejściowy

Następujące parametry są akceptowane w treści żądania.

Łącznie: 11Wymagane: 2Opcjonalne: 9

modelstringrequired

model name

Default: "alibaba/wan-3.0/reference-to-video"

promptstringrequired

The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).

refersarray[object]

All-in-One Reference materials. Each item requires a public URL and explicit media type. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.

Max items: 20

urlstringrequired

Public URL of the reference image / video / audio.

typestringrequired

Media kind.

imagevideoaudio

resolutionstring

Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.

Default: "1080p"

1080p720p480p720p-esr1080p-esr1440p-esr4k-esr

durationnumber

Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).

Default: 5

-123456789101112131415161718192021222324252627282930

ratiostring

The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.

Default: "adaptive"

adaptive16:94:31:13:49:16

audioboolean

Whether the output video includes an audio track. Same price either way.

Default: true

enable_thinkingboolean

Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.

Default: false

filestring

Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.

linkstring

Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.

seedinteger

The random seed to use for the generation. -1 means a random seed will be used.

Przykładowa treść żądania

{
  "model": "alibaba/wan-3.0/reference-to-video",
  "prompt": "A beautiful landscape",
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": false
}

Schema wyjściowy

API zwraca odpowiedź predykcji z URL-ami wygenerowanych wyników.

created_atstring

ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

idstring

Unique identifier for the prediction, the ID of the prediction to get.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated content (empty when status is not completed).

statusstring

Status of the task: created, processing, completed, or failed.

Przykładowa odpowiedź

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integruje ponad 400 modeli AI bezpośrednio z Twoim asystentem kodowania AI. Jedno polecenie do instalacji, a następnie używaj języka naturalnego do generowania obrazów, filmów i rozmów z LLM.

Obsługiwani klienci

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ obsługiwani klienci

Instalacja

npx skills add AtlasCloudAI/atlas-cloud-skills

Skonfiguruj klucz API

Uzyskaj klucz API z panelu Atlas Cloud i ustaw go jako zmienną środowiskową.

export ATLASCLOUD_API_KEY="your-api-key-here"

Możliwości

Po zainstalowaniu możesz używać języka naturalnego w swoim asystencie AI, aby uzyskać dostęp do wszystkich modeli Atlas Cloud.

Generowanie obrazówGeneruj obrazy za pomocą modeli takich jak Nano Banana 2, Z-Image i inne.

Tworzenie wideoTwórz filmy z tekstu lub obrazów za pomocą Kling, Vidu, Veo itp.

Chat LLMRozmawiaj z Qwen, DeepSeek i innymi dużymi modelami językowymi.

Przesyłanie mediówPrześlij lokalne pliki do edycji obrazów i przepływów pracy obraz-do-wideo.

Dowiedz się więcej

github.com/AtlasCloudAI/atlas-cloud-skills

Serwer MCP

Serwer MCP Atlas Cloud łączy Twoje IDE z ponad 400 modelami AI za pośrednictwem Model Context Protocol. Działa z każdym klientem kompatybilnym z MCP.

Obsługiwani klienci

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ obsługiwani klienci

Instalacja

npx -y atlascloud-mcp

Konfiguracja

Dodaj następującą konfigurację do pliku ustawień MCP w swoim IDE.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Dostępne narzędzia

atlas_generate_imageGeneruj obrazy z promptów tekstowych.

atlas_generate_videoTwórz filmy z tekstu lub obrazów.

atlas_chatRozmawiaj z dużymi modelami językowymi.

atlas_list_modelsPrzeglądaj ponad 400 dostępnych modeli AI.

atlas_quick_generateTworzenie treści w jednym kroku z automatycznym wyborem modelu.

atlas_upload_mediaPrześlij lokalne pliki do przepływów pracy API.

Dowiedz się więcej

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "alibaba/wan-3.0/reference-to-video"
          },
          "prompt": {
            "description": "The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).",
            "type": "string"
          },
          "refers": {
            "description": "All-in-One Reference materials. Each item requires a public URL and explicit media type. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.",
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "url": {
                  "type": "string",
                  "description": "Public URL of the reference image / video / audio.",
                  "x-ui-component": "uploaders"
                },
                "type": {
                  "type": "string",
                  "description": "Media kind.",
                  "enum": [
                    "image",
                    "video",
                    "audio"
                  ]
                }
              },
              "required": [
                "url",
                "type"
              ]
            },
            "maxItems": 20,
            "x-accept": ".jpeg,.jpg,.png,.bmp,.webp,.mp4,.mov,.wav,.mp3",
            "x-ui-component": "uploaders"
          },
          "resolution": {
            "default": "1080p",
            "description": "Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.",
            "enum": [
              "1080p",
              "720p",
              "480p",
              "720p-esr",
              "1080p-esr",
              "1440p-esr",
              "4k-esr"
            ],
            "type": "string",
            "x-ui-component": "select"
          },
          "duration": {
            "default": 5,
            "description": "Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).",
            "enum": [
              -1,
              2,
              3,
              4,
              5,
              6,
              7,
              8,
              9,
              10,
              11,
              12,
              13,
              14,
              15,
              16,
              17,
              18,
              19,
              20,
              21,
              22,
              23,
              24,
              25,
              26,
              27,
              28,
              29,
              30
            ],
            "x-enum-labels": {
              "-1": "Smart"
            },
            "type": "number",
            "totalMaximum": 30,
            "inputMaximum": 15,
            "x-ui-component": "select"
          },
          "ratio": {
            "default": "adaptive",
            "description": "The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.",
            "enum": [
              "adaptive",
              "16:9",
              "4:3",
              "1:1",
              "3:4",
              "9:16"
            ],
            "type": "string",
            "x-ui-component": "select"
          },
          "audio": {
            "default": true,
            "description": "Whether the output video includes an audio track. Same price either way.",
            "type": "boolean",
            "x-ui-component": "switch"
          },
          "enable_thinking": {
            "default": false,
            "description": "Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.",
            "type": "boolean",
            "x-ui-component": "switch"
          },
          "file": {
            "description": "Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.",
            "type": "string",
            "x-ui-component": "uploaders",
            "x-accept": ".docx,.doc,.xlsx,.xls,.pptx,.ppt,.pdf,.txt,.key,.pages,.numbers,.md",
            "x-max-size-mb": 100
          },
          "link": {
            "description": "Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.",
            "type": "string",
            "x-ui-component": "input"
          },
          "seed": {
            "description": "The random seed to use for the generation. -1 means a random seed will be used.",
            "type": "integer"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "type": "object",
        "allOf": [
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                }
              },
              "required": [
                "enable_thinking"
              ]
            },
            "else": {
              "properties": {
                "file": {
                  "x-hidden": true
                },
                "link": {
                  "x-hidden": true
                }
              }
            }
          },
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                },
                "file": {
                  "type": "string",
                  "minLength": 1
                }
              },
              "required": [
                "enable_thinking",
                "file"
              ]
            },
            "then": {
              "properties": {
                "link": {
                  "x-hidden": true
                }
              }
            }
          },
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                },
                "link": {
                  "type": "string",
                  "minLength": 1
                }
              },
              "required": [
                "enable_thinking",
                "link"
              ]
            },
            "then": {
              "properties": {
                "file": {
                  "x-hidden": true
                }
              }
            }
          }
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "refers",
          "resolution",
          "duration",
          "ratio",
          "audio",
          "enable_thinking",
          "file",
          "link",
          "seed"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction, the ID of the prediction to get.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated content (empty when status is not completed).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  },
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    },
    "/api/v1/model/generateVideo": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

Szablon Prompt dla LLM

# alibaba/wan-3.0/reference-to-video

> All-in-One Reference: keep subjects consistent from any mix of reference images, videos, and audio; pixel-level identity/voice/space alignment.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `alibaba/wan-3.0/reference-to-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"alibaba/wan-3.0/reference-to-video"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).

- **`refers`** (`array[object]`, _optional_):
  All-in-One Reference materials. Each item requires a public URL and explicit media type. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.
  - Max items: 20
  - Item properties:
    - **`url`** (`string`, _required_):
      Public URL of the reference image / video / audio.

    - **`type`** (`string`, _required_):
      Media kind.
      - Options: "image", "video", "audio"


- **`resolution`** (`string`, _optional_):
  Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.
  - Default: `"1080p"`
  - Options: "1080p", "720p", "480p", "720p-esr", "1080p-esr", "1440p-esr", "4k-esr"

- **`duration`** (`number`, _optional_):
  Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).
  - Default: `5`
  - Options: -1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30

- **`ratio`** (`string`, _optional_):
  The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.
  - Default: `"adaptive"`
  - Options: "adaptive", "16:9", "4:3", "1:1", "3:4", "9:16"

- **`audio`** (`boolean`, _optional_):
  Whether the output video includes an audio track. Same price either way.
  - Default: `true`

- **`enable_thinking`** (`boolean`, _optional_):
  Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.
  - Default: `false`

- **`file`** (`string`, _optional_):
  Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.

- **`link`** (`string`, _optional_):
  Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-3.0/reference-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-3.0/reference-to-video",
  "prompt": "",
  "refers": [
    {
      "url": "",
      "type": "image"
    }
  ],
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": false,
  "file": "",
  "link": "",
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/wan-3.0/reference-to-video",
  "prompt": "",
  "refers": [
    {
      "url": "",
      "type": "image"
    }
  ],
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": false,
  "file": "",
  "link": "",
  "seed": 0
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/alibaba/wan-3.0/reference-to-video)

Convert video to comic style

Ładowanie...

Wan 3.0 Reference-to-Video

Wan 3.0 Reference-to-Video is the "all-in-one reference" mode: give it any mix of reference images, videos, and audio, and it keeps those subjects, props, voices, and spatial relationships consistent throughout a new clip driven by your prompt. This is pixel-level identity preservation — not "close enough," but faithful replication of the reference details.

Why Choose This?

Mix four modalities Combine reference images, reference videos, and reference audio in one request.
Pixel-level consistency Characters, props, voices, and spatial relationships stay aligned across the whole clip.
Multi-subject scenes Reference several subjects at once and direct them with your prompt.
Native long-form + audio Up to 30 seconds with a synchronized audio track.
Flexible aspect ratios adaptive, 16:9, 4:3, 1:1, 3:4, or 9:16.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the scene and action for the subjects (up to 5000 chars)
refers	Yes	Array of reference materials, each `{ "url": "...", "type": "image\|video\|audio" }`. `type` is optional (inferred from the URL).
resolution	No	Output quality: 1080P (default), 720P, 480P
duration	No	Output length in seconds: 5 (default), 2–30. Pass -1 for smart-duration
ratio	No	Aspect ratio: adaptive (default), 16:9, 4:3, 1:1, 3:4, 9:16
audio	No	Whether the output has an audio track: true (default) / false
enable_thinking	No	Deep thinking mode: false (default). Required for file/link parsing
file	No	Document to parse (requires enable_thinking): docx/doc/xlsx/xls/ppt/pdf/txt/key/pages/numbers/md , ≤100MB, ≤50 pages. Mutually exclusive with link
link	No	Public webpage URL to parse (requires enable_thinking; no-login pages only). Mutually exclusive with file

Reference limits

Kind	Max count	Notes
Image	10	jpeg/jpg/png (no alpha)/bmp/webp, single edge 240–8000px, ratio ≤ 8:1, ≤ 20MB
Video	5	mp4/mov, total ≤ 15s, each 1–15s, single edge 240–4096px, ≤ 100MB
Audio	5	wav/mp3, total ≤ 15s, each 1–15s, ≤ 15MB

`refers` example

"refers": [
  { "url": "https://.../subject1.jpg", "type": "image" },
  { "url": "https://.../subject2.png" },
  { "url": "https://.../clip.mp4", "type": "video" },
  { "url": "https://.../beat.mp3", "type": "audio" }
]

How to Use

Add your references — any mix of images, videos, and/or audio.
Write your prompt — describe the scene, action, and camera movement for the subjects.
Set resolution, duration, and ratio.
Run — submit and download your video.

Best Use Cases

Character Consistency — Keep the same character across shots.
Product Placement — Feature a specific product in generated scenes.
Branded Content — Maintain a consistent mascot or spokesperson.
Audio-driven Motion — Sync the action to a reference beat.

Pro Tips

Give one clean image per subject when combining several subjects.
Describe the new scene and action, not the reference materials themselves.
Supply a reference audio track to drive the timing/beat of the motion.

Notes

prompt and at least one reference are required.
Reference mode is mutually exclusive with first/last-frame mode — do not mix reference materials with image/last_image; use Image-to-Video for strict frame control.
file and link require enable_thinking = true and are mutually exclusive.
Negative prompts are not supported on Wan 3.0.
Ensure all reference URLs are publicly accessible.
Generation is asynchronous — submit, then poll for the finished video.

Wan 3.0 Text-to-Video — Generate video directly from a text prompt.
Wan 3.0 Image-to-Video — Animate a first frame (optionally with a last frame).

Eksploruj Podobne Modele

NEW

wideo-do-wideo

Wan-3.0-Prime Reference-to-video

All-in-One Reference: keep subjects consistent from any mix of reference images, videos, and audio; pixel-level identity/voice/space alignment.

Wan-3.0-Prime Image-to-video

Animate a first frame (optionally with a last frame) into a coherent clip, with native audio and smart-duration up to 30s.

Wan-3.0-Prime Text-to-video

All-in-one Wan3.0 renderer: cinematic, hyper-real video from a text prompt, up to 30s with smart-duration and adaptive aspect ratio.

Wan-3.0 Image-to-video

Animate a first frame (optionally with a last frame) into a coherent clip, with native audio and smart-duration up to 30s.

Wan-3.0 Text-to-video

All-in-one Wan3.0 renderer: cinematic, hyper-real video from a text prompt, up to 30s with smart-duration and adaptive aspect ratio.

HappyHorse-1.1 Reference-to-video

Generates videos from one to nine reference images and a text prompt, supporting 480P, 720P, or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.1 Image-to-video

Animates a first-frame image into video with optional prompt guidance, 480P, 720P, or 1080P output, and durations from 3 to 15 seconds.

HappyHorse-1.1 Text-to-video

Generates videos from text prompts with HappyHorse 1.1, supporting 480P, 720P, or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.0 Image-to-video

Animates a first-frame image into video with optional prompt guidance, 720P or 1080P output, and durations from 3 to 15 seconds.

HappyHorse-1.0 Text-to-video

Generates videos from text prompts with HappyHorse 1.0, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.0 Video-edit

Edits an input video with text instructions and optional reference images, supporting 720P or 1080P output.

HappyHorse-1.0 Reference-to-video

Generates videos from one to nine reference images and a text prompt, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

From

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